Acerca de este Curso

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Certificado para compartir
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100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 12 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 12 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

ofrecido por

Logotipo de Universidad de California, Davis

Universidad de California, Davis

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

3 horas para completar

Introduction to Healthcare Data Models

3 horas para completar
10 videos (Total 58 minutos), 1 lectura, 1 cuestionario
10 videos
Module 1 Introduction52s
What is a Data Model?6m
Speaking the Same Language and Capturing the Context6m
The Uniqueness of Data Models as Used in Healthcare6m
Path to Value: Operational Systems to Actionable Information, Part 17m
Path to Value: Operational Systems to Actionable Information, Part 26m
Data Flows among Systems and Keeping Systems Connected7m
What We're Measuring in Healthcare Data Models, Part 17m
What We're Measuring in Healthcare Data Models, Part 25m
1 lectura
A Note From UC Davis10m
1 ejercicio de práctica
Module 1 Quiz30m
Semana
2

Semana 2

2 horas para completar

Data Models and Use Cases They Support

2 horas para completar
6 videos (Total 33 minutos)
6 videos
Selecting a Data Model9m
The Hierarchical Model and Supported Use Cases5m
The Relational Schema and Supported Use Cases6m
The Star Schema and Supported Use Cases6m
Comparing and Contrasting Healthcare Data Models5m
1 ejercicio de práctica
Module 2 Quiz30m
Semana
3

Semana 3

3 horas para completar

Working with Data across Systems

3 horas para completar
5 videos (Total 41 minutos)
5 videos
Purpose, Use Cases, and Measurements in Healthcare Data8m
Normalization of Healthcare Data6m
Integrating Healthcare Data Across Sources and Systems10m
Common Identifiers and The Master Patient Index (MPI)14m
1 ejercicio de práctica
Module 3 Quiz30m
Semana
4

Semana 4

5 horas para completar

Improving the Quality of Healthcare Data

5 horas para completar
5 videos (Total 27 minutos), 3 lecturas, 2 cuestionarios
5 videos
Data Quality: Driven by Questions We Ask and Levels of Use8m
Verification and Validation of Data for Consistency: Finding Data Errors8m
Data Mapping7m
Course Summary1m
3 lecturas
Data Mapping article from AHIMA30m
What Mapping and Modeling Means to the Health Information Management Professional30m
Welcome to Peer Review Assignments!10m
1 ejercicio de práctica
Module 4 Quiz30m

Revisiones

Principales revisiones sobre HEALTHCARE DATA MODELS

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Acerca de Programa especializado: Health Information Literacy for Data Analytics

This Specialization is intended for data and technology professionals with no previous healthcare experience who are seeking an industry change to work with healthcare data. Through four courses, you will identify the types, sources, and challenges of healthcare data along with methods for selecting and preparing data for analysis. You will examine the range of healthcare data sources and compare terminology, including administrative, clinical, insurance claims, patient-reported and external data. You will complete a series of hands-on assignments to model data and to evaluate questions of efficiency and effectiveness in healthcare. This Specialization will prepare you to be able to transform raw healthcare data into actionable information....
Health Information Literacy for Data Analytics

Preguntas Frecuentes

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    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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